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<p>To address the challenges associated with the real-time characterization of in situ rock strength parameters during drilling operations, a coupled bit–rock interaction model was developed using Ls-Dyna. Through explicit dynamic simulations of rock fragmentation processes, this paper investigates the evolution of drilling-induced dynamic response characteristics (e.g., torque, response force, vibration amplitude, and energy consumption) and their inherent correlations with uniaxial compressive strength (UCS) values. Simulation results demonstrate significant positive correlations between torque, response force, vibration, and energy characteristics with rock UCS, while drilling speed exhibits a strong negative correlation. To validate these findings, a micro-drilling test platform was developed, and a response while drilling test method based on constant drilling speed–rotation speed was proposed. Experimental results indicate that longitudinal vibration peak-to-peak amplitudes for yellow rust stone (95&#xa0;MPa), artificial rock (58.2&#xa0;MPa), curb (57.5&#xa0;MPa), and sandstone (45&#xa0;MPa) reached 1.677&#xa0;g, 0.981&#xa0;g, 0.745&#xa0;g, and 0.535&#xa0;g, respectively, while average power consumption values were 4196.9W, 3839.5W, 3610.9W, and 3572.7W, respectively, which verifies the correctness of the relationship between dynamic response characteristics and rock UCS value. The research results provide a theoretical basis for adjusting the operation parameters of the rig reasonably and realizing the adaptive drilling of the rig under different formations. </p>

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Rock UCS Characterization Based on Multisource Dynamic Information: Insights from Numerical Simulation to Constant-Parameter Drilling Experiments

  • 期刊论文

  • 发表日期：

    2025年7月1日

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  • Kangping Gao,
  • Yilin Wang,
  • Xinxin Xu,
  • Xiaokang Ma

摘要

To address the challenges associated with the real-time characterization of in situ rock strength parameters during drilling operations, a coupled bit–rock interaction model was developed using Ls-Dyna. Through explicit dynamic simulations of rock fragmentation processes, this paper investigates the evolution of drilling-induced dynamic response characteristics (e.g., torque, response force, vibration amplitude, and energy consumption) and their inherent correlations with uniaxial compressive strength (UCS) values. Simulation results demonstrate significant positive correlations between torque, response force, vibration, and energy characteristics with rock UCS, while drilling speed exhibits a strong negative correlation. To validate these findings, a micro-drilling test platform was developed, and a response while drilling test method based on constant drilling speed–rotation speed was proposed. Experimental results indicate that longitudinal vibration peak-to-peak amplitudes for yellow rust stone (95 MPa), artificial rock (58.2 MPa), curb (57.5 MPa), and sandstone (45 MPa) reached 1.677 g, 0.981 g, 0.745 g, and 0.535 g, respectively, while average power consumption values were 4196.9W, 3839.5W, 3610.9W, and 3572.7W, respectively, which verifies the correctness of the relationship between dynamic response characteristics and rock UCS value. The research results provide a theoretical basis for adjusting the operation parameters of the rig reasonably and realizing the adaptive drilling of the rig under different formations.